Sharecast Initiative Nepal launched a purposive survey in 25 districts of Nepal in collaboration with 14 local radio stations (community and commercial) to understand general media landscape as well as local radio audience preferences, expectations and feedback. Second part of the survey is an aggregation of data from findings of 14 radio stations. Please get in touch with us (Sharecast.Nepal@gmail.com) if you need further information on the data. Thank you and look forward to your comments and input. We intend to conduct a similar survey in 20 local radio stations sometimes in December 2016.
Internews/IDA Media Survey Findings_Nepal pdf Madhu Acharya
Internews and IDA conducted National Opinion Polls Wave III in September 2014. This presentation covers the media survey findings. An updated version of the survey finding will be shares first week of January 2015.
Sharecast Initiative Nepal's National Media Landscape Wave II was conducted among 5555 sample in January-February 2017. This report compiles the toppling finding of the survey focusing on access to traditional and new media in Nepal. Please contact info@sharecast.org.np if you need further information or want to collaborate on the next survey which is planned in February 2018.
Knowledge is power - Impact of interactive radio programming on women's empow...CGIAR
This presentation was given by Catherine Ragasa (International Food Policy Research Institute), as part of the Annual Scientific Conference hosted by the University of Canberra and co-sponsored by the University of Canberra, the Australian Centre for International Agricultural Research (ACIAR) and CGIAR Collaborative Platform for Gender Research. The event took place on April 2-4, 2019 in Canberra, Australia.
Read more: https://www.canberra.edu.au/research/faculty-research-centres/aisc/seeds-of-change and https://gender.cgiar.org/annual-conference-2019/
Earlier this year we were all ears with the launch of our biennial user survey, which was answered by over 2,000 users of the Europeana.eu website. Every two years, we conduct such a survey to better understand what our users do when they arrive on Europeana.eu and how they feel about using the website to search, browse and share Europe’s cultural collections.
Internews/IDA Media Survey Findings_Nepal pdf Madhu Acharya
Internews and IDA conducted National Opinion Polls Wave III in September 2014. This presentation covers the media survey findings. An updated version of the survey finding will be shares first week of January 2015.
Sharecast Initiative Nepal's National Media Landscape Wave II was conducted among 5555 sample in January-February 2017. This report compiles the toppling finding of the survey focusing on access to traditional and new media in Nepal. Please contact info@sharecast.org.np if you need further information or want to collaborate on the next survey which is planned in February 2018.
Knowledge is power - Impact of interactive radio programming on women's empow...CGIAR
This presentation was given by Catherine Ragasa (International Food Policy Research Institute), as part of the Annual Scientific Conference hosted by the University of Canberra and co-sponsored by the University of Canberra, the Australian Centre for International Agricultural Research (ACIAR) and CGIAR Collaborative Platform for Gender Research. The event took place on April 2-4, 2019 in Canberra, Australia.
Read more: https://www.canberra.edu.au/research/faculty-research-centres/aisc/seeds-of-change and https://gender.cgiar.org/annual-conference-2019/
Earlier this year we were all ears with the launch of our biennial user survey, which was answered by over 2,000 users of the Europeana.eu website. Every two years, we conduct such a survey to better understand what our users do when they arrive on Europeana.eu and how they feel about using the website to search, browse and share Europe’s cultural collections.
July 2014 NHS Choices Satisfaction SurveyNHSChoices
Results of the July 2014 NHS Choices satisfaction survey. This includes details of:
Reasons for visiting the site
Whether people found what they were looking for and what was missing
Satisfaction and advocacy and suggested improvements
Diversion First: Briefing, Progress-to-Date, and a Look to the FutureFairfax County
Diversion First: Briefing, Progress-to-Date, and a Look to the Future
Presentation to the Public Safety Committee of the Fairfax County Board of Supervisors
There are many examples of evidence-informed decision making (EIDM) among public health professionals and organizations in Canada. However, there are limited mechanisms in place to facilitate the sharing of these stories within the public health community. The National Collaborating Centre for Methods and Tools (NCCMT) seeks to address this gap with an interactive, peer-led webinar series featuring a collection of EIDM success stories in public health.
These success stories will illustrate what EIDM in public health practice, programs and policy looks like across the country.
Join us to engage with public health practitioners across Canada as they share their success stories of using or implementing EIDM in the real world. Learn about the strategies and tools used by presenters to improve the use of evidence.
Featuring:
Sharing health information with community organizations to promote health equity
Dr. M. Mustafa Hirji and Cassandra Ogunniyi, Niagara Region Public Health & Emergency Services
To improve the sharing of local demographic and health outcome data to meet the needs of local priority populations, a project was undertaken to examine how to select, analyze and distribute data. Learn more about how this team worked to improve data sharing across local public health units and community partners.
Putting research in place: An innovative approach to decision support in Newfoundland and Labrador
Dr. Stephen Bornstein and Rochelle Baker, Newfoundland and Labrador Centre for Applied Health Research
The Newfoundland & Labrador Centre for Applied Health Research (NLCAHR) supports applied health research in Newfoundland and Labrador. Learn more about how the NLCAHR’s Contextualized Health Research Synthesis Program works with health system partners to prioritize health research needs, as well as synthesize and contextualize evidence for Newfoundland and Labrador.
Social Media in Nepal presentation. Nepal is one of the fastest growing country in terms of Internet users. However, Social Media usage is limited to Facebook for most cases and YouTube (for viewing).
Active adoption of other forms of social media such as Twitter and LinkedIn is mostly limited to a smaller tech population.
Nepal Media Status Report presented to the International Mission to Nepal for Promoting Freedom of Expression and Safety of Journalists 2015 at the Hotel Summit, April 19, 2015.
If you want a significant exposure in your target market, Social Media Presence is compulsory in today's scenario. This particular slide provides you essential information on how and why you do Social Media Marketing. Also is gives you a brief introduction about our company which is actively involved in enhancing the Social Media Presence of the top most brand in Nepal.
Why Social Media is essential for Nepali Businesses?Sneha Koirala
It talks about why Social Media is important for any businesses, especially those in Nepal. Supported with data and facts, it justifies that the time is ripe for business to be more social and more approachable!
The latest statistics published by NTA show that telecom penetration rate in Nepal has risen to 95%. Ncell remains the market leader in telephony whereas NTC dominates data services.
This presentation includes the basic information about the Facebook ads, how it works and its purposes. Also it includes information on Social Aves, a leading Social Media Marketing Agency in Nepal, which caters satisfying services to its customers.
July 2014 NHS Choices Satisfaction SurveyNHSChoices
Results of the July 2014 NHS Choices satisfaction survey. This includes details of:
Reasons for visiting the site
Whether people found what they were looking for and what was missing
Satisfaction and advocacy and suggested improvements
Diversion First: Briefing, Progress-to-Date, and a Look to the FutureFairfax County
Diversion First: Briefing, Progress-to-Date, and a Look to the Future
Presentation to the Public Safety Committee of the Fairfax County Board of Supervisors
There are many examples of evidence-informed decision making (EIDM) among public health professionals and organizations in Canada. However, there are limited mechanisms in place to facilitate the sharing of these stories within the public health community. The National Collaborating Centre for Methods and Tools (NCCMT) seeks to address this gap with an interactive, peer-led webinar series featuring a collection of EIDM success stories in public health.
These success stories will illustrate what EIDM in public health practice, programs and policy looks like across the country.
Join us to engage with public health practitioners across Canada as they share their success stories of using or implementing EIDM in the real world. Learn about the strategies and tools used by presenters to improve the use of evidence.
Featuring:
Sharing health information with community organizations to promote health equity
Dr. M. Mustafa Hirji and Cassandra Ogunniyi, Niagara Region Public Health & Emergency Services
To improve the sharing of local demographic and health outcome data to meet the needs of local priority populations, a project was undertaken to examine how to select, analyze and distribute data. Learn more about how this team worked to improve data sharing across local public health units and community partners.
Putting research in place: An innovative approach to decision support in Newfoundland and Labrador
Dr. Stephen Bornstein and Rochelle Baker, Newfoundland and Labrador Centre for Applied Health Research
The Newfoundland & Labrador Centre for Applied Health Research (NLCAHR) supports applied health research in Newfoundland and Labrador. Learn more about how the NLCAHR’s Contextualized Health Research Synthesis Program works with health system partners to prioritize health research needs, as well as synthesize and contextualize evidence for Newfoundland and Labrador.
Social Media in Nepal presentation. Nepal is one of the fastest growing country in terms of Internet users. However, Social Media usage is limited to Facebook for most cases and YouTube (for viewing).
Active adoption of other forms of social media such as Twitter and LinkedIn is mostly limited to a smaller tech population.
Nepal Media Status Report presented to the International Mission to Nepal for Promoting Freedom of Expression and Safety of Journalists 2015 at the Hotel Summit, April 19, 2015.
If you want a significant exposure in your target market, Social Media Presence is compulsory in today's scenario. This particular slide provides you essential information on how and why you do Social Media Marketing. Also is gives you a brief introduction about our company which is actively involved in enhancing the Social Media Presence of the top most brand in Nepal.
Why Social Media is essential for Nepali Businesses?Sneha Koirala
It talks about why Social Media is important for any businesses, especially those in Nepal. Supported with data and facts, it justifies that the time is ripe for business to be more social and more approachable!
The latest statistics published by NTA show that telecom penetration rate in Nepal has risen to 95%. Ncell remains the market leader in telephony whereas NTC dominates data services.
This presentation includes the basic information about the Facebook ads, how it works and its purposes. Also it includes information on Social Aves, a leading Social Media Marketing Agency in Nepal, which caters satisfying services to its customers.
We Are Social's Guide to Social, Digital and Mobile in Cambodia Dec 2011We Are Social Singapore
This is the December 2011 edition of We Are Social Singapore’s guide to Social, Digital and Mobile in Cambodia. You can find more of these Asia reports at http://wearesocial.sg
Media consumption habits in Nepal exhibit a diverse landscape shaped by a blend of traditional and modern influences. While television remains a dominant force in the media landscape, particularly in rural areas where access to the internet may be limited, digital platforms are rapidly gaining traction, especially among urban youth. Social media platforms like Facebook, Instagram, and YouTube are increasingly popular, serving as sources of entertainment, news, and social interaction. Additionally, the rise of smartphones and affordable data plans has facilitated the proliferation of online streaming services, allowing Nepali consumers to access a wide range of content from around the world. Print media, though still relevant, is experiencing a gradual decline in readership, particularly among younger demographics. Overall, media consumption habits in Nepal reflect a dynamic interplay between traditional and digital formats, influenced by factors such as technological advancements, socioeconomic status, and cultural preferences.
Democracy International - Afghanistan Public Opinion Poll December 2013DemocracyInternational
Democracy International's first public opinion poll in Afghanistan is one of three nationwide surveys in advance of presidential and provincial council elections planned for April 2014. These surveys seek to learn about voter preferences on key election issues, voter participation trends, and candidates.
Internews Annual Survey: Media Consumption in Ukraine 2016DonbassFullAccess
The Internews annual media consumption survey shows more Ukrainians searching for news online and fewer getting their news from television. Trust in Ukrainian online media is also up, matching the trend in greater consumption. The survey also shows that Ukrainians are consuming Russian media far less than they did last year, and that trust in Russian media continues to decline.
Internet use in general, including news sites and social networks, is up. Around 67% of respondents said they use the web to get news, compared to 64% in 2015. Television is still the main source of news for Ukrainians, but it is continuing a downward slide in popularity. The number of Ukrainians reporting they watch TV news has declined from 89% in 2014, to 81% in 2015, and 79% in 2016.
Nevertheless, television remains the most popular means for people to get information, chiefly due to its traditional hold over audiences older than 35. Ukrainians’ favorite three TV channels are 1+1, Inter and STB.
The poll was conducted in May-June 2016 for Internews by the InMind market research company, with a sample size of 4,048, including 300 respondents or more in each of 12 oblasts – Kyiv, Lviv, Vinnytsia, Poltava, Sumy, Odesa, Mykolaiv, Kherson, Zaporizhzhia, Dnipropetrovsk, Donetsk, and Kharkiv. A smaller number of respondents in the remaining regions were added to provide a national picture. Donetsk and Luhansk interviews were held in areas under the control of the Ukrainian government.
USAID U-Media annual media consumption survey 2016 (ENG)Irina Negreyeva
The poll was conducted in May-June 2016 for USAID U-Media by the InMind market research company, with a sample size of 4,048, including 300 respondents or more in each of 12 oblasts – Kyiv, Lviv, Vinnytsia, Poltava, Sumy, Odesa, Mykolaiv, Kherson, Zaporizhzhia, Dnipropetrovsk, Donetsk, and Kharkiv. A smaller number of respondents in the remaining regions were added to provide a national picture. Donetsk and Luhansk interviews were held in areas under the control of the Ukrainian government.
The comparisons of 2014 with 2015 and 2016 results are restricted to the 10 control regions surveyed in all years - Kyiv, Vinnytsa, Donetsk (under control of Ukrainian government), Lviv, Mikolaiv, Odesa, Zakarpattya, Sumy, Kharkov, and Cherkasy.
This research is made possible by the support of the American people through the United States Agency for International Development (USAID). The research findings are the sole responsibility of Internews and InMind and do not necessarily reflect the views of USAID and the United States government.
The Podcast Consumer Australia 2017 is a first look at this growing platform in Australia. Patterned on a similar report in the USA, this information adds to Edison’s worldwide dataset on Podcasting. This information is derived from the Infinite Dial Australia 2017 study, which is sponsored by Triton Digital, Commercial Radio Australia, and Southern Cross Austereo. This report shows the current status of podcasting including information on:
Demographics
• Podcast Consumption
• Device Usage
• Social Media Behaviors
• Other Media Behaviors
Nicolaas smith nat cen-city seminar oct 2017_v4_241017 Gerry Nicolaas
Push-to-web’ surveys use offline contact methods to encourage people to go online and complete a web questionnaire. This design may or may not offer alternative modes of data collection but, if so, only in subsequent contact attempts among web non-respondents. In this presentation, Gerry Nicolaas & Patten Smith review the development of this methodology in the UK and elsewhere, concluding with the challenges that still need to be addressed and require further research.
Extension's On TV - What Does the Public Think ? ACE CharlestonLeighton Spann, APR
Presentation made to ACE 2015 Conference in Charleston on results of general public survey of Mississippi residents concerning weekly Extension Service television program. Survey outlines performance of the program as well as perception of the Mississippi State University Extension Service.
Politics of tweeting, tweeting of politics: The uses of social media by state...Brenda Moon
Paper by Julia Schwanholz, Brenda Moon, Axel Bruns & Felix Münch Presentation presented at the 6th European Communications Conference - ECREA, Prague 2016
This presentation of The Podcast Consumer 2016 contains all new data on podcast users in America, derived from the Infinite Dial 2016 study from Edison Research and Triton Digital. This presentation charts the rise of podcasting over the past decade, and also includes information on the following:
Demographics
Podcast Consumption
Device Usage
Social Media Behaviors
Other Media Behaviors
The updated Share of Ear ® for podcasting
Media Consumption & Habits of MENA Internet Users SurveySpot On PR
Insights from the Media Consumption & Habits of Middle East & North Africa Internet Users Survey conducted by Effective Measure and Spot On Public Relations.
Visit our blog: http://www.spotonpr.com
Follow us on Twitter: http://twitter.com/spotonpr
Join our mailing list: http://conta.cc/cinbiq
The nationwide TNS opinion poll was carried out between 15 and 20 January of 2013 by its local partner IPSC. The poll was commissioned by European Friends of Armenia (www.EuFoA.org) in order to contribute to a factual debate ahead of the elections. The sample size of the survey is 1,607.
The second nationwide TNS opinion poll was carried out between 31 January and 5 February 2013 by its local partner IPSC. The poll was commissioned by European Friends of Armenia (www.EuFoA.org) in order to contribute to a factual debate ahead of the elections. The sample size of the survey is 1,609.
In mind internews_ media_report_2014 english editIrina Negreyeva
Internews presents the Media Audience Survey held in Ukraine in spring-summer 2014. The survey explores the Ukrainians' media consumption in ten regions of Ukraine and exemines their awareness about media ownership, paid journalism and Ukraine's switch to the digital broadcasting.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
3. Methodology
From each stratum, wards were selected
using PPS-samplings. Around one ward is
selected for 15 sample households.
Altogether 301 sample wards were
selected using PPS- sampling.
Selection of sample Household:
Once the Sampled ward is selected,
sample household within the selected
sample ward were selected using random
walk method. From one sample ward 15
household were selected using random
walk methods. All together 4515
household were selected from 301
sample wards using random walk
methods.
Selection of respondents:
Once the household is selected, then
KISH-GRID was used to select one
respondent from all members of
household aged 18 and above.
Altogether 4515 sample respondents
were selected using Kish-grid random
number from 4515 sample households
spread over 301 sample wards and 25
districts.
11
4. Sample design
The Media survey is representative survey of 14
radio stations with sample size of 4515
respondents spread over 25 districts of Nepal.
The sample of size 4515 produce +/- 1.46%
error margin at 95% confidence interval at the
aggregate level findings and the same error
margin will not be statistically claimed in the
disaggregated findings. The error margin of the
findings which are disaggregated at the radio
station level is around +/-5%.
The sample frame for this survey was created
using Census 2011 data, while creating the
sample frame areas where there is good
frequency strength of 14 radio station were
taken into the sample frame, the frame
consists 9,892 wards of Nepal spread over 25
districts. The sample frame was stratified into
14 strata by based on location of 14 radio
stations. The primary sampling unit for the
survey was ward and selected using the
PPS-sampling. The multistage random sampling
was used in the selection process of
respondents in each stage. The diagram below
shows the sample design of the survey.
12
5. ngisedelpmaS
Nepal Media and democracy survey january 2016
9,892 wards
wards
Sample frame ((stratified by Radio Station))
PPS-sampling1st
stage
HHs Random Walk Method2nd
stage
respondents Kish-Grid Random Number3rd
stage
13
13. access to media outside of your household at least once a week
b2 | bASE: 4,535 | multiple response
4%Computer
8% INTERNET
46%
mOBILE
19%
Television
Radio13%
Nepal Media and democracy survey january 2016
16
14. In the past six months, how often
did you listen to the radio?
Base=4,535
eVERYDAY35%
fEW TIMES A WEEK26%
nEVER26%
Few Times A MONTH13%
Nepal Media and democracy survey january 2016
b3 |
17
15. In the past six months,
how often did you access the telivision?
b3.2 | Base= 4,535 | Multiple response]
62%
Everyday
14%
Fewtimes
a week
18%
Never
6%
Few times
a month
Nepal Media and democracy survey january 2016
18
16. Which time of the day
do you watch TV for news?
b10 | Base= 3,704 | Multiple response
noon-3pm
9%
6am-9am
21%
6pm-9pm
82%
Through out
the day
1%
Nepal Media and democracy survey january 2016
23
17. How trustworthy is tV?
Base=3,704 6%
7%
Not very
trustworthy
25%
2%
don’t know
Others
60%
SOMEWHAT
very
trustworthy
Nepal Media and democracy survey january 2016
b11 |
24
18. What types of program do you like the most on the television?
Base=3,704 | Multiple response]
Drama,serials,comedy
62%
News79%
Cinema19%
Interviews19%
Others24%
Music
53%
Nepal Media and democracy survey january 2016
b6 |
26
19. In the past six months, how often did you access the internet?
Base=4,535
68%
Never
8%
Fewtimes
aweek
2%
Fewtimes
amonth
21%Everyday
1%Refused
Nepal Media and democracy survey january 2016
B3.4 |
19
20. In the past six months, how often did you access the newspaper?
Base=4,535
57%
Never
15%
Fewtimes
aweek
15%
Fewtimes
amonth
12%
Everyday
Nepal Media and democracy survey january 2016
B3.3 | 20
21. How trustworthy do you find the contents of newspapers?
B13 | BASE= 1,954
71%
1%
Very
trustworthy
don’t know
SOMEWHAT
trustworthy
6%Not very
trustworthy
22%
Nepal Media and democracy survey january 2016
27
22. In the past six months, how often did you access mobile phones?
Base=4,535
78%
Everyday
13%
Fewtimesaweek
4%
Fewtimes
amonth
5%
Never
Nepal Media and democracy survey january 2016
B3.6 | 21
23. In the past six months, how often did you access the computer?
Base=4,535
79%Never
8%
Fewtimesamonth
7%
Fewtimesaweek
6%
Everyday
Nepal Media and democracy survey january 2016
B3.7 |
22
24. Do you own mobile phone? If yes, what type of mobile phone?
b14 | Base= 4,294 / b14.1 | BASE=3,673
44%
Smart Phone
55%
Feature Phone
2%
iOS
2%
Smart and Feature
Phone
34%
Android
15%
1%
Both
63%
Don’t
Know
Nepal Media and democracy survey january 2016
28
25. What do you use your mobile phone for?
B14.3 | BASE=3,673 | Multiple response 100%
Phone Call
63%
Music45% pictures/videos
43% send mESSAGE 53%
rADIO
17%
others
40% Receive mESSAGE
34% Internet/
SOCIAL MEDIA
24% Games
Nepal Media and democracy survey january 2016
29
26. How do you access the internet?
Base= 493]
29.3%On my Mobile Phone
6.3%On my home computer/laptop
4.7%Others
67.6%No Internet
How do you access the internet?
B16 | Base= 4,535 | MULTIPLE RESPONSE
29% On my Mobile Phone
6% On my home computer/laptop
4% Others
68% No Internet
Nepal Media and democracy survey january 2016Nepal Media and democracy survey january 2016
31
27. What do you use the internet for?
B16.1 | Base= 1,433 | MULTIPLE RESPONSE
11%
9%
4%
39%
88%
65%
Social media
(Facebook,
Twitter etc.)
Communication with friends/family (Skype etc.)
News
Work
Personal research (including job search)
Education (school, college work)
internet
Nepal Media and democracy survey january 2016
32
28. use of internet based applications?
B17 | Base= 1433 | MULTIPLE RESPONSE
96%
fACEBOOK
11%
tWITTER
57%
VIBER
34%
sKYPE
38%
EMAIL
27%
online NEWS portals
Nepal Media and democracy survey january 2016
33
29. How often do you access social media?
B18 | Base= 1,433
Media
SOCIALMedia
SOCIAL
Every day
68%
Few times a month
4%
Few times a week
27%
Nepal Media and democracy survey january 2016
34
31. Have you listened to the radio in the past six months?
C1 | Base= 4,535
72%
YES
NO
27%
1%
dON’T kNOW/
CAN’T SAY
Nepal Media and democracy survey january 2016
37
32. How often do you listen to the radio?
C2 | Base= 3,278
49%
Everyday
37%
Few times a week
13%
Few times a month
0.2%
Few times a year
0.1%
DK/CS
Nepal Media and democracy survey january 2016
40
33. How (on what device) do you listen to the radio?
C3| Base= 3278 | Multiple response]
69%
mOBILE
52%
RADIO
0.2%
cOMPUTER
0.3%
dk/cs
refused
Nepal Media and democracy survey january 2016
41
34. Why don’t you listen to the radio?
C1.1 | Base= 1,236 | MULTIPLE RESPONSE
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100
I don’t
have radio
68%
Radio is
damaged
8%
3%
I cannot
afford
radio
Programs
on radio
don’t
interest me
10%
I don’t
have time
27%
2%
no or BAD
SIGNAL
0.3%
i CAN NOT
AFFORD
BATTERIES
1%
I don’t
go to place
where they
play radio
Nepal Media and democracy survey january 2016
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35. What will make you listen to your local radio?
C1.2 | Base= 1,236 | MULTIPLE RESPONSE
Programs that
interest me
24%
Others
21%
Programs that
address my
immediate need
17%
More
promotion/information
about radio stations
in my area
13%
Provides information
that I can use
13%
More
programs/information
about our
local issues
5%
Programs that
include more
community voices
4%
Refused
3%
More
news/information
3% 2%
More
programs/information
about national issues
Strong Radio
signal in my area
2%
DK/CS
20%
Nepal Media and democracy survey january 2016
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36. Which time of the day do you listen to the radio?
C11.3 | Base= 1,897 | Multiple response
3%
Throughout
the day
1%Own convenient time
48%
Morning between
6am-9am
27%Afternoons
between 12-3
66%
evening between
6pm-9pm
3%Dk/cs
refused
Nepal Media and democracy survey january 2016
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37. What type of program do you like the most on your local radio?
c11.10 | Base= 1,897 | MULTIPLE RESPONSE
Local
news
74%
Music
67%
National
news
60%
Drama
AND SeriAL
13%
Call in shows
14%
Community
announcement
11%
talk show
with politician
10%
interviews
with local
Talk show
with expert
9%
6%
otehrs
19%
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38. What do you dislike most about the fm station?
38%
15%
11%
10%
4%
3%
13%
Don’t Know/
Can’t Say
Radio signal
is very poor
The programs don’t
match my
daily routine
It does not
play the
music I like
It does not
broadcast in
my language
Programs are
not interesting
ALL GOOD
I don’t like how
they speak/present
on radio
I think the radio
airs the views
of one political Party
10%
5%
Nepal Media and democracy survey january 2016
C11.11 | BASE = 1897 | Multiple response
47
39. What kind of music do you listen to?
c11.14 | Base= 1897 | Multiple response |]
Nepali
Pop music
20%
ENGLISH
4%
rEFUSED
DK/CS
0.4%
Ethnic/
cultural
26%
Folk songs
(Lok and Jhyaure)
24%
Old Nepali
songs
37%
Modern
Music
54%
Lok
Dohori
53%
hindi
49%
Nepal Media and democracy survey january 2016
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40. Where do you usually find out about new or the music
you like to listen to? c11.15 | Base= 1897 | Multiple response]
radio
72%
Television
51%
friends and families27%
local music store16%
youtube12%
ONLINE / SOCIAL MEDIA11%
Magazine / newspaper2%
CRBT / SMS2%
DK/CS | REFUSED1%
dk/CS | RFUSED1%
Nepal Media and democracy survey january 2016
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41. Do you think your local FM station raises enough local issues?
c11.20 | Base= 1,897
60%
somewhat
6%
not very much
6%
don’t Know/
cant say
28%
very much
Nepal Media and democracy survey january 2016
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42. Do you think FM STATION supports any political party?
c11.21 | Base= 1,897
4%
yes
11%
Refused | DK/CS
85%
no
Nepal Media and democracy survey january 2016
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43. Do you think FM station favors any specific
ethnic/caste groups?
c11.22 | Base= 1,897
1%
yes
8%
refused
dk/cs
91%
no
Nepal Media and democracy survey january 2016
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44. Do you think FM station discriminate any groups
(women, Madhesi, dalits, janajatis, disabled etc.)
c11.23 | Base= 1,897
94%
no
1%
yes
5%
dk/cs
Nepal Media and democracy survey january 2016
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45. What is the most important topic you would like
to listen on radio?
c12 | Base= 1,897 | Multiple response
Political
analysis
26% 74%
Health and
medical care
30%
Success /
unsuccess
stories
Women’s issues
24%
21%
More program
in Local language
20%
Culture/traditions19%
Agriculture and livelihoods19%
religion and faith15%
sports13%
Entertainment
/music
Nepal Media and democracy survey january 2016
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46. What type of programs would you like more on local FM?
c14 | Base= 1897 | | Multiple response]
75%
news80%
75% music
show talk
show24%
Locally
produced
program
21%
21%
Local
language
program
Interviews with
experts
Personal Stories and
narrative17%
13%
Nepal Media and democracy survey january 2016
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47. What is your immediate priority/concern?
D7.2 | Base= 4,535 | Multiple response
Finances
71%
Health
63%
Education
56%
Household
38%
basic needs
29%
foods
25%
security
17%
Community
participation
15%
AGRICULTURE
23%
Nepal Media and democracy survey january 2016
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49. I would like to know the level of trust you have towards
various institutions/organizations.
e1 | Base= 4,535 (In a scale of 0 to 10)
3.4
Parliament
5.2
Judiciary
2.8
Political Party
5.7
Police
6.8
Army
5.4
Goverment
Civil Service
Television
7.37.3
Radio Newspaper
6.8
Election
Commission
6.1
CIAA
7.1
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